People are often asked to list their skills, describe their experience, or claim that they are qualified for an opportunity.

But a claim becomes more useful when another person can understand what supports it.

That support might be a credential issued by a trusted organization. It might be a work sample, project, assessment, recommendation, outcome, photograph, publication, or demonstration. In other situations, the most appropriate evidence may be a carefully written description of what happened and an endorsement from someone who was there.

A Universal Talent Passport helps people connect this evidence to the experiences and capabilities it supports.

The goal is not to “prove” every dimension of a person or turn a human life into a collection of documents.

It is to preserve enough context for people to represent themselves more clearly—and for others to understand the basis of what they choose to share.

Product availability note: This article describes both capabilities available in TalentPass today and longer-term applications Gobekli is developing with partners. Visit our Product Availability page to see what is currently available, being tested, in development, or part of our future direction.

What is an artifact?

An artifact is an item connected to an experience, achievement, capability, or claim.

It might be something the individual created, received, earned, recorded, or was publicly associated with.

Examples include:

• A report
• A certificate
• A photograph
• A design
• A presentation
• A link
• A video
• A recommendation
• An assessment
• A project summary
• A publication
• An award

An artifact becomes useful evidence when it helps another person understand something relevant.

A photograph of a completed construction project might support a tradesperson’s description of their work. A research paper might support a student’s account of an academic project. A recommendation may support a consultant’s description of a client engagement.

The artifact does not speak entirely for itself.

Its meaning depends on the context surrounding it.

Evidence, credentials, and endorsements are related—but different

These terms should not be treated as interchangeable.

Evidence

Evidence is anything relevant that supports a claim or helps someone understand an experience.

It may be formal or informal, public or private, issued by an organization or created by the individual.

Credential

A credential is a claim or recognition issued by an organization or other authorized party.

Examples include degrees, licenses, certificates, digital badges, and other verified achievements.

A credential may be one form of evidence, but not all evidence is a credential.

Endorsement

An endorsement is testimony from another person or organization that supports a contribution, experience, relationship, or capability.

The value of an endorsement depends on who provided it, what they observed, and how specifically they explain what they are confirming.

Artifact

An artifact is the item being connected to the experience or claim.

An artifact may function as evidence, contain a credential, preserve an endorsement, or simply add useful context.

TalentPass should preserve these distinctions so that people viewing shared information can understand where it came from and what it reasonably supports.

1. Credentials, certificates, and licenses

Trusted credentials can provide strong evidence of formal recognition.

Examples include:

• Degrees
• Certificates
• Professional certifications
• Occupational licenses
• Microcredentials
• Digital badges
• Comprehensive Learner Records
• Training-completion records
• Safety or compliance credentials
• Employer-issued achievements
• Membership qualifications

When issued through verifiable and interoperable standards, a receiving system may be able to check the credential’s source, integrity, status, and other important details.

Verification does not mean the credential proves every capability associated with a profession or field. The viewer must still determine whether the issuer is trusted, whether the credential is current, and whether it is relevant to the decision.

Within TalentPass, credentials can become trusted anchors connected to the experiences through which they were earned and later applied.

2. Work samples

Sometimes the clearest evidence is the work itself.

Work samples may include:

• Writing
• Designs
• Illustrations
• Photographs
• Code
• Data models
• Reports
• Lesson plans
• Presentations
• Spreadsheets
• Engineering drawings
• Marketing materials
• Research
• Policies
• Procedures
• Plans
• Creative portfolios

A strong work sample should make the individual’s role understandable.

If several people created the work, the person should explain what they contributed rather than implying sole authorship.

The sample should also be shared legally and ethically. People must respect employer policies, client agreements, copyright, confidentiality, privacy, and other restrictions.

3. Project artifacts

A finished work sample may show what was produced. Project artifacts can show how the work developed.

Examples include:

• Project plans
• Timelines
• Requirements
• Prototypes
• Drafts
• Process maps
• Research notes
• Testing documentation
• Retrospectives
• Meeting materials
• Decision logs
• Before-and-after comparisons
• Public project pages
• Implementation summaries

These artifacts may reveal planning, collaboration, judgment, adaptation, and problem-solving that are difficult to see in the final result.

They are especially useful when connected to an explanation of:

• The problem
• The person’s role
• The constraints
• The decisions made
• The outcome
• What the person learned

4. Outcomes and measures

Results can provide useful evidence of contribution.

Examples might include:

• A documented improvement
• A completed deliverable
• Adoption or participation
• Time or cost reductions
• Revenue or fundraising results
• Quality measures
• Customer feedback
• Program outcomes
• Publication or distribution
• Audience growth
• Recognition by an external organization

Metrics should be presented carefully.

A result does not necessarily prove that one person caused it. Team contributions, market conditions, organizational resources, and other factors may also have influenced the outcome.

The individual should explain what the measure represents, where it came from, and what role they actually played.

A modest, accurate claim is more trustworthy than an impressive number without context.

5. Assessments and evaluations

Assessments can provide structured evidence of learning or performance.

Examples include:

• Course assessments
• Competency evaluations
• Skills demonstrations
• Practicum evaluations
• Performance rubrics
• Technical assessments
• Portfolio reviews
• Auditions
• Competition judging
• Certification examinations
• Prior-learning assessments

The usefulness of an assessment depends on:

• Who designed it
• Who administered it
• What it measured
• How performance was evaluated
• When it occurred
• Whether the result is current and relevant

An assessment result should not be presented as a permanent or complete measure of the person.

It shows performance under particular conditions at a particular time.

6. Recommendations, references, and endorsements

Other people can provide important context about work that they directly observed.

Examples include:

• Supervisor recommendations
• Faculty references
• Client testimonials
• Peer endorsements
• Mentor statements
• Letters of recommendation
• Teammate recognition
• Community references
• Professional reviews

Specific endorsements are generally more informative than broad praise.

“Jordan is an excellent leader” provides little context.

“Jordan coordinated five volunteers through a difficult event transition, clarified responsibilities, and kept the project moving when the original plan failed” explains what the endorser observed.

An endorsement should identify the relationship between the people, the experience being discussed, and the basis of the observation.

7. Academic and learning artifacts

Students and lifelong learners create evidence throughout education.

Examples include:

• Research papers
• Essays
• Laboratory work
• Capstone projects
• Portfolios
• Presentations
• Designs
• Exhibitions
• Performances
• Course projects
• Reflections
• Assessment summaries
• Instructor feedback
• Learning journals
• Fieldwork documentation
• Internship deliverables

Academic work becomes more meaningful when the learner explains:

• What they were asked to do
• What they contributed
• Which methods they used
• What feedback they received
• What they would improve
• How the experience connects with later learning or work

Students should follow institutional academic-integrity, privacy, and ownership policies when sharing course materials.

8. Publications and public contributions

Public work can provide durable, independently accessible evidence.

Examples include:

• Articles
• Books
• Research publications
• Conference presentations
• Public reports
• Patents
• Open-source contributions
• Recorded talks
• Podcasts
• Exhibitions
• Performances
• Public datasets
• Community resources
• Media coverage

The individual should describe their contribution accurately, particularly when the work has multiple authors or collaborators.

A link may eventually change or disappear, so preserving an appropriate citation, description, or authorized copy can help maintain the record over time.

9. Photographs, video, audio, and demonstrations

Some capabilities are easier to understand through media than through text.

Examples include:

• A recorded presentation
• A musical or theatrical performance
• A teaching demonstration
• A product demonstration
• A trades portfolio
• A competition
• A public speech
• A workshop
• A design walkthrough
• A technical demonstration
• A documented creative process

Media should include enough explanation for viewers to understand what they are seeing and what the individual contributed.

People must also obtain appropriate permission before sharing images, voices, performances, workplaces, or other people’s information.

10. Awards and recognition

Recognition can provide evidence that another person or organization valued an achievement or contribution.

Examples include:

• Academic honors
• Professional awards
• Scholarships
• Fellowships
• Grants
• Competition results
• Service recognition
• Publication credits
• Speaking invitations
• Leadership appointments
• Community awards

Recognition should be connected to the issuing organization, selection criteria when available, date, and reason it was awarded.

An award may support a story of contribution or achievement. It should not be treated as proof of every capability that might be associated with it.

11. Participation and role documentation

Some experiences do not produce a polished artifact but can still be documented.

Examples include:

• Employment records
• Volunteer records
• Membership records
• Event participation
• Committee service
• Team rosters
• Leadership appointments
• Project assignments
• Apprenticeship hours
• Training participation
• Community roles

These records can help establish that someone participated or held a role.

They may not independently demonstrate the quality of performance. Additional context, evidence, outcomes, or endorsements can make the experience more understandable.

12. Reflection and self-authored narratives

Reflection is an important source of personal understanding.

A person may write about:

• What they learned
• How their thinking changed
• A challenge they encountered
• A decision they made
• Feedback they received
• A mistake and what followed
• A changing goal
• A developing interest
• How several experiences connect

Reflection is not third-party verification.

It is person-authored context.

That context can still be valuable—especially when connected to experiences, evidence, credentials, and feedback. It helps the individual make meaning from what happened rather than merely collecting records.

Pythia, the private AI guide within TalentPass, is designed to help people reflect on experiences and turn them into structured stories they can review and control.

13. AI-assisted and AI-generated work

As AI becomes part of more work and learning, evidence should help people explain the relationship between human and machine contribution.

Someone sharing AI-assisted work should consider describing:

• The objective
• Their original contribution
• How AI was used
• Which decisions they made
• What they edited or validated
• Which sources or inputs were involved
• How quality was evaluated
• What they learned
• What responsibility they retained

The purpose is not to disqualify AI-assisted work.

It is to preserve enough context to understand where human judgment, creativity, expertise, and accountability mattered.

People should also follow employer, client, school, copyright, confidentiality, and disclosure policies governing AI use.

What if the strongest evidence is confidential?

Much of the most valuable work people perform cannot be shared directly.

It may include:

• Confidential client work
• Proprietary systems
• Internal strategy
• Trade secrets
• Protected health information
• Student information
• Legal records
• Security-sensitive information
• Unreleased products
• Personnel information

A person should never upload restricted information merely to strengthen a profile.

Possible alternatives include:

• A redacted artifact
• A generalized project summary
• A description of the process without confidential details
• Publicly available outcomes
• An endorsement from an authorized person
• A credential or recognition issued by the organization
• Metadata confirming participation without exposing content
• A sanitized recreation that is clearly labeled as such
• No artifact at all

Privacy, safety, legal responsibility, and trust matter more than making every claim visible.

What makes evidence useful?

Useful evidence is not necessarily the most formal or impressive evidence.

It is evidence that helps the intended audience understand the relevant claim.

Consider these questions:

Is it relevant?

Does the artifact actually relate to the experience or capability being described?

Is its source clear?

Can the viewer understand who created, issued, observed, or supplied it?

Is the individual’s contribution specific?

For collaborative work, does the person explain what they actually did?

Does it include context?

Can someone understand the situation, purpose, constraints, and outcome?

Is it current enough?

Does the evidence still reflect the capability or qualification being presented?

Is it authentic?

Has the artifact been altered, misrepresented, or separated from important qualifications?

Is it permitted to share?

Does sharing respect privacy, confidentiality, ownership, and organizational policy?

Is it accessible?

Can the intended audience open and understand it? Does it include a useful title, description, and accessible alternative where needed?

Evidence exists on a spectrum of trust

A Universal Talent Passport may contain different levels of support:

1. Person-authored claim
   The individual describes an experience or capability.
2. Artifact-supported claim
   A work sample, document, photograph, link, or other item adds support.
3. Endorsed claim
   Another person confirms what they observed.
4. Organization-recognized achievement
   A school, employer, association, or agency issues recognition.
5. Machine-verifiable credential
   A standards-based record allows its source and integrity to be checked.

These levels should remain distinguishable.

A self-authored reflection should not appear to be an institution-issued credential. A downloadable certificate should not be described as machine-verifiable unless it actually is. An endorsement should identify the person or organization that provided it.

Clear provenance makes the entire passport more trustworthy.

Connect evidence to stories—not isolated skill claims

A single artifact rarely demonstrates an entire capability by itself.

Evidence becomes more meaningful when connected to a story:

• What happened?
• What was the person’s role?
• What did they do?
• Which capability is relevant?
• What evidence supports the account?
• Who else can confirm it?
• What was the outcome?
• What did the person learn?

This is why TalentPass connects evidence with experiences rather than treating it as a folder of disconnected files.

A presentation is more useful when connected to the event, audience, purpose, and speaker’s role. A certificate is more useful when connected to the learning and its later application. A design is more useful when the creator explains the problem, constraints, decisions, and outcome.

Context turns artifacts into evidence. Reflection helps turn evidence into intelligence.

Share evidence for a purpose

The complete collection of evidence inside a TalentPass should remain private by default.

People should create purpose-specific profiles that include only what is relevant to the intended audience.

A job application may need selected work samples and credentials. A networking profile may need little or no formal evidence. A graduate application may emphasize research and academic work. A client profile may focus on relevant projects and testimonials.

More information is not always better.

The individual should share the smallest appropriate set of evidence needed to support the purpose.

Evidence should help people be understood—not permanently judged

Evidence can make human experience more visible and trustworthy.

It can help people preserve accomplishments, explain contributions, connect learning to work, and carry trusted recognition between organizations.

But no collection of artifacts can fully represent a person.

Evidence is always partial. It reflects particular experiences, conditions, opportunities, and moments in time. People continue learning and changing.

A Universal Talent Passport should therefore use evidence to create context—not a permanent score or automated judgment of human worth.

The goal is to give people a clearer, more credible way to show what they have experienced, created, learned, and contributed while preserving their ownership, privacy, and agency.